Literature DB >> 28978454

Is the Extracellular Impedance High and Non-resistive in Cerebral Cortex?

Claude Bédard1, Alain Destexhe2.   

Abstract

A recent commentary to Biophysical Journal criticized a previous study published in the same journal by Gomes et al. in 2016, and an alternative interpretation of the measurements was proposed. We reply here to these criticisms and provide some additional clarification, in particular, about a possible misinterpretation of the electrical circuit corresponding to these experiments. We suggest that, indeed, the extracellular impedance in cerebral cortex could be high and non-resistive, and we propose further experiments to settle this issue.
Copyright © 2017 Biophysical Society. Published by Elsevier Inc. All rights reserved.

Mesh:

Year:  2017        PMID: 28978454      PMCID: PMC5627389          DOI: 10.1016/j.bpj.2017.08.021

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  16 in total

1.  Evidence for frequency-dependent extracellular impedance from the transfer function between extracellular and intracellular potentials: intracellular-LFP transfer function.

Authors:  Claude Bédard; Serafim Rodrigues; Noah Roy; Diego Contreras; Alain Destexhe
Journal:  J Comput Neurosci       Date:  2010-06-18       Impact factor: 1.621

2.  Macroscopic models of local field potentials and the apparent 1/f noise in brain activity.

Authors:  Claude Bédard; Alain Destexhe
Journal:  Biophys J       Date:  2009-04-08       Impact factor: 4.033

3.  Generalized cable theory for neurons in complex and heterogeneous media.

Authors:  Claude Bédard; Alain Destexhe
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2013-08-13

4.  In vivo measurement of cortical impedance spectrum in monkeys: implications for signal propagation.

Authors:  Nikos K Logothetis; Christoph Kayser; Axel Oeltermann
Journal:  Neuron       Date:  2007-09-06       Impact factor: 17.173

5.  The dielectric properties of biological tissues: II. Measurements in the frequency range 10 Hz to 20 GHz.

Authors:  S Gabriel; R W Lau; C Gabriel
Journal:  Phys Med Biol       Date:  1996-11       Impact factor: 3.609

6.  Microscale inhomogeneity of brain tissue distorts electrical signal propagation.

Authors:  Matthew J Nelson; Clémentine Bosch; Laurent Venance; Pierre Pouget
Journal:  J Neurosci       Date:  2013-02-13       Impact factor: 6.167

Review 7.  A framework to reconcile frequency scaling measurements, from intracellular recordings, local-field potentials, up to EEG and MEG signals.

Authors:  Claude Bedard; Jean-Marie Gomes; Thierry Bal; Alain Destexhe
Journal:  J Integr Neurosci       Date:  2017       Impact factor: 2.117

8.  Impact of brain tissue filtering on neurostimulation fields: a modeling study.

Authors:  Tim Wagner; Uri Eden; Jarrett Rushmore; Christopher J Russo; Laura Dipietro; Felipe Fregni; Stephen Simon; Stephen Rotman; Naomi B Pitskel; Ciro Ramos-Estebanez; Alvaro Pascual-Leone; Alan J Grodzinsky; Markus Zahn; Antoni Valero-Cabré
Journal:  Neuroimage       Date:  2013-07-10       Impact factor: 6.556

9.  Comparative power spectral analysis of simultaneous elecroencephalographic and magnetoencephalographic recordings in humans suggests non-resistive extracellular media.

Authors:  Nima Dehghani; Claude Bédard; Sydney S Cash; Eric Halgren; Alain Destexhe
Journal:  J Comput Neurosci       Date:  2010-08-10       Impact factor: 1.621

10.  Analysis of Claims that the Brain Extracellular Impedance Is High and Non-resistive.

Authors:  Boris Barbour
Journal:  Biophys J       Date:  2017-10-03       Impact factor: 4.033

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  4 in total

1.  Extracellular and intracellular components of the impedance of neural tissue.

Authors:  Claude Bedard; Charlotte Piette; Laurent Venance; Alain Destexhe
Journal:  Biophys J       Date:  2022-02-17       Impact factor: 4.033

2.  Simulating epileptic seizures using the bidomain model.

Authors:  Jakob Schreiner; Kent-Andre Mardal
Journal:  Sci Rep       Date:  2022-06-16       Impact factor: 4.996

Review 3.  Active Dendrites and Local Field Potentials: Biophysical Mechanisms and Computational Explorations.

Authors:  Manisha Sinha; Rishikesh Narayanan
Journal:  Neuroscience       Date:  2021-09-08       Impact factor: 3.590

4.  FEMfuns: A Volume Conduction Modeling Pipeline that Includes Resistive, Capacitive or Dispersive Tissue and Electrodes.

Authors:  M Vermaas; M C Piastra; T F Oostendorp; N F Ramsey; P H E Tiesinga
Journal:  Neuroinformatics       Date:  2020-10
  4 in total

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